Evidence map›Paper›PMID 34321296›Full record

ArticleBMJ open2021

Feasibility, quality and validity of narrative multisource feedback in postgraduate training: a mixed-method study.

Ellen Astrid Holm, Shaymaa Jaafar Lafta Al-Bayati, Toke Seierøe Barfod, Maurice A Lembeck, Hanne Pedersen, Emilie Ramberg, Åse Kathrine Klemmensen, Jette Led Sorensen

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Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ellen Astrid HolmDepartment of Internal Medicine, Zealand University Hospital Koge, Koge, Denmark ellh@regionsjaelland.dk.ORCID 0000-0002-7600-6025
Shaymaa Jaafar Lafta Al-BayatiDepartment of Clinical Physiology and Nuclear Medicine, Zealand University Hospital Roskilde, Roskilde, Denmark.
Toke Seierøe BarfodDepartment of Internal Medicine, Zealand University Hospital Roskilde, Roskilde, Denmark.
Maurice A LembeckDepartment of Internal Medicine, Nykobing F Sygehus, Nykobing Falster, Denmark.
Hanne PedersenDepartment of Internal Medicine, Glostrup, Rigshospitalet, Kobenhavn, Denmark.
Emilie RambergDepartment of Internal Medicine, Nykobing F Sygehus, Nykobing Falster, Denmark.
Åse Kathrine KlemmensenDepartment of Obstetrics and Gynecology, Rigshospitalet, Kobenhavn, Denmark.
Jette Led SorensenJuliane Marie Centre for Children, Women and Reproduction Section 4074, Rigshospitalet, Kobenhavn, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine a narrative multisource feedback (MSF) instrument concerning feasibility, quality of narrative comments, perceptions of users (face validity), consequential validity, discriminating capacity and number of assessors needed.

designQualitative text analysis supplemented by quantitative descriptive analysis.

settingInternal Medicine Departments in Zealand, Denmark.

participants48 postgraduate trainees in internal medicine specialties, 1 clinical supervisor for each trainee and 376 feedback givers (respondents).

interventionThis study examines the use of an electronic, purely narrative MSF instrument. After the MSF process, the trainee and the supervisor answered a postquestionnaire concerning their perception of the process. The authors coded the comments in the MSF reports for valence (positive or negative), specificity, relation to behaviour and whether the comment suggested a strategy for improvement. Four of the authors independently classified the MSF reports as either 'no reasons for concern' or 'possibly some concern', thereby examining discriminating capacity. Through iterative readings, the authors furthermore tried to identify how many respondents were needed in order to get a reliable impression of a trainee.

resultsOut of all comments coded for valence (n=1935), 89% were positive and 11% negative. Out of all coded comments (n=4684), 3.8% were suggesting ways to improve. 92% of trainees and supervisors preferred a narrative MSF to a numerical MSF, and 82% of the trainees discovered performance in need of development, but only 53% had made a specific plan for development. Kappa coefficients for inter-rater correlations between four authors were 0.7-1. There was a significant association (p<0.001) between the number of negative comments and the qualitative judgement by the four authors. It was not possible to define a specific number of respondents needed.

conclusionsA purely narrative MSF contributes with educational value and experienced supervisors can discriminate between trainees' performances based on the MSF reports.

Indexed as

Clinical CompetenceEducational MeasurementEducation, Medical, GraduateFeasibility StudiesFeedbackHumanseducation & training (see medical education & training)internal medicinequalitative research

Identifiers

PMID34321296
PMCPMC8319975

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.